Video from AHRA 2022: Lawrence Tanenbaum on AI for MRI

Jul 12, 2022

The adoption of artificial intelligence (AI) is already starting to change the practice of radiology -- and its potential is boundless. In a July 11 presentation at AHRA 2022, Dr. Lawrence Tanenbaum of RadNet discusses the potential of AI in MRI.

The adoption of artificial intelligence (AI) is already starting to change the practice of radiology -- and its potential is boundless. In a July 11 presentation at AHRA 2022, Dr. Lawrence Tanenbaum of RadNet discusses the potential of AI in MRI.

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Images of a 39-year-old who underwent screening mammography. Right craniocaudal (left) and mediolateral oblique (middle) views from preoperative mammography show suspicious grouped fine pleomorphic calcifications (arrows). After biopsy showed ductal carcinoma of situ (DCIS), patient underwent breast-conserving surgery, yielding final diagnosis of ductal carcinoma in situ (intermediate grade, hormone receptor positive). (Right) Screenshot of an output of a commercial AI tool applied to preoperative mammography. AI detected right breast lesion with score of 95% on both views (concentric colored circles). Present study’s reviewing radiologist deemed AI marking to correspond with site of DCIS.

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